Zscaler Unveils Cutting-Edge AI Innovations to Stop Attacks
Zscaler, Inc., the leader in cloud security, announced
advanced artificial intelligence (AI) security capabilities and new AI-powered
innovations to enhance data security and stop cyberattacks. These advancements
address critical challenges for businesses adopting AI, including safeguarding
proprietary information and maintaining regulatory compliance.
As organizations adapt to the era of artificial intelligence, Zscaler is
enabling businesses to adopt advanced AI technologies securely and at scale.
The Zscaler platform securely connects users, devices, and data across
distributed environments, leveraging the world’s largest inline security
cloud—processing over 500 trillion security signals every day. This
unparalleled real-world telemetry powers Zscaler’s AI engines, delivering
highly accurate threat detection and effective automated security.
Zscaler’s latest AI-focused solutions address the complexities
associated with deploying advanced AI tools in large, distributed environments.
The new capabilities drive precision, automate threat neutralization, and power
frictionless collaboration by harnessing the power of AI to unify users,
applications, devices, clouds, and branches.
The following solutions—showcased during Zenith Live 2025—are available
for Zscaler customers to accelerate secure, AI-driven innovation:
- AI-powered Data Security Classification: Zscaler’s newest AI-powered
data security classification brings human-like intuition to identifying
sensitive content, now including more than 200 categories, allowing
advanced classifications that find new and unexpected sensitive data
beyond traditional regex-based signature detection. As a result,
organizations can get very granular data security posture assessment in a
fraction of the time.
- Enhanced Generative AI Protections with
Expanded Prompt Visibility: Zscaler delivers greater visibility and control over GenAI
applications, including Microsoft CoPilot, by enabling advanced prompt
classification and inspection. Organizations can block prompts that
violate policies and leverage existing DLP capabilities to safeguard
sensitive data and ensure compliance across AI-powered workflows.
- AI-Powered Segmentation: Enhancements include
the first purpose-built user-to-application segmentation AI automation
engine to now simplify app management, app grouping and segmentation
workflows with user identity built in. This capability significantly
accelerates the segmentation workflow to rapidly improve an organization's
security posture.
- Zscaler Digital Experience (ZDX)
Network Intelligence: Powered with AI, Network Operations can
now instantly benchmark and visualize internet and regional ISP
performance, correlating last-mile and intermediate ISP outages with
multi-path flow analysis to optimize connections to Zscaler data centers
and applications, ensuring greater reliability and improved performance.
Additionally, network operations teams can also proactively detect,
isolate, and analyze trends for disruptive ISP issues, such as packet loss
impacting users, enabling faster remediation through rerouting, and cost
savings via better ISP negotiations.
"Zscaler is redesigning the boundaries of enterprise security by
advancing AI-driven innovations that address the complex challenges of today's
digital age," said Adam Geller, Chief Product Officer, Zscaler. "With
industry-first capabilities like AI-driven threat detection and automated
segmentation, we empower organizations to adopt and scale AI responsibly and
securely. These advancements not only neutralize emerging threats but
accelerate collaboration and operational efficiency, allowing businesses to
capitalize on the transformative power of AI with confidence and
precision."
Leave A Comment